Get clean names of model parametersSource:
This function "cleans" names of model parameters by removing
"b" (mostly applicable to Stan models)
and adding columns with information to which group or component parameters
belong (i.e. fixed or random, count or zero-inflated...)
The main purpose of this function is to easily filter and select model parameters, in particular of - but not limited to - posterior samples from Stan models, depending on certain characteristics. This might be useful when only selective results should be reported or results from all parameters should be filtered to return only certain results (see
A data frame with "cleaned" parameter names and information on effects,
component and group where parameters belong to. To be consistent across
different models, the returned data frame always has at least four columns
Cleaned_Parameter. See 'Details'.
Effects column indicate if a parameter is a fixed or random effect.
Component can either be conditional or zero_inflated. For models
with random effects, the
Group column indicates the grouping factor of the
random effects. For multivariate response models from brms or
rstanarm, an additional Response column is included, to indicate
which parameters belong to which response formula. Furthermore,
Cleaned_Parameter column is returned that contains "human readable"
parameter names (which are mostly identical to
Parameter, except for for
models from brms or rstanarm, or for specific terms like smooth-